About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
About the Role: As a Senior Software Engineer on our team, you will be at the forefront of designing, building, and deploying enterprise-grade applications that harness the power of both traditional machine learning and cutting-edge AI models. You will be instrumental in developing a diverse range of impactful use cases, including demand forecasting services, large-scale AI factories, and innovative LLM-powered voice assistants for drive-through and telephony systems. Collaborating closely with our talented data science team, you will translate sophisticated models into scalable and reliable services that drive significant business value.
Key Responsibilities
Design and develop robust applications that effectively utilize machine learning models to address specific business and operational challenges, including areas like demand forecasting, large-scale AI factory implementations, and LLM-powered voice assistants.
Partner closely with Data Scientists to seamlessly integrate trained models into production environments, transforming research prototypes into maintainable and scalable services.
Optimize application performance with a strong focus on minimizing latency, ensuring scalability to handle large volumes, and maintaining high reliability.
Tackle complex system design problems, contributing meaningfully to critical architectural decisions.
Champion and contribute to team best practices in areas such as coding standards, comprehensive testing strategies, robust observability practices, and efficient CI/CD pipelines.
Qualifications:
Our ideal candidate will possess 3-6 years of demonstrable experience in building and deploying software applications.
You have a minimum of 3 years of hands-on experience developing and deploying applications on cloud platforms (AWS, GCP, or Azure).
You possess strong programming skills in Python. While experience with other languages like C, C++, Java, Go, or NodeJS is valued, the primary coding language will be Python.
You have practical experience with API technologies, including REST, WebSocket, and gRPC.
You have hands-on experience with containerization technologies (Docker) and orchestration frameworks (Kubernetes).
You have a proven track record of building and operating large-scale, distributed systems.
Preferred Qualifications:
Experience in building applications leveraging Large Language Models (LLMs).
Familiarity and experience working with both SQL and NoSQL database systems.
Experience integrating with message queue systems such as Kafka, Pulsar, or RabbitMQ.
Knowledge and practical experience in implementing security measures, encryption techniques, and authentication methods.
Familiarity with ML engineering pipelines, model serving infrastructure, and feature stores
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.